Iβm an engineer who enjoys hacking on learning, decision-making, and software to build intelligent systems and push them into real-world settings.
- Deep Learning: Model architectures, loss functions, and training dynamics.
- Reinforcement Learning: Offline RL policies, control, and simulation-driven experiments.
- Agentic Systems: LLMs, RAG, and planning agents.
- Robotics & Embedded Systems: Perception, drones, and hardware-aware design.
- π» Coding: Python, C++, Go, and Node.js.
- π Tinkering: I love prototyping with electronics, hardware, and new frameworks.
- π Learning: reading papers, articles, and watching technical lectures.
| Domain | Technologies |
|---|---|
| Languages | |
| Deep Learning/Machine Learning | |
| Robotics & Embedded | |
| Backend & Tools |
- π Portfolio/Blog: iabhyuday.github.io
- πΌ LinkedIn: linkedin.com/in/iabhyuday